Optimization and Path Planning of Robotics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 95
Special Issue Editor
Special Issue Information
Dear Colleagues,
Optimization and path planning constitute critical components of robotics that significantly enhance the efficiency, safety, and overall performance of real-world applications. These mathematical methodologies enable robotic systems to navigate complex environments, avoid obstacles, and execute tasks with precision and minimal resource utilization. This not only improves their operational effectiveness, but also extends their capabilities in various applications, ranging from industrial automation to autonomous vehicles and space exploration. As the field of robotics continues to advance and integrate into diverse domains, the development of sophisticated optimization and path planning methods becomes increasingly imperative for creating more intelligent, versatile, and reliable robotic solutions.
This Special Issue aims to present innovative mathematical solutions addressing challenges in robotic optimization and path planning, with a particular focus on optimization techniques for robot motion, state-of-the-art path planning algorithms, collision avoidance strategies, simulation, and mathematical techniques for enhancing robot performance and navigation.
This Special Issue welcomes submissions of exceptional quality, including original research papers and review articles of outstanding merit in the following areas:
- Optimization methods;
- Path planning algorithms;
- Collision avoidance strategies;
- Machine learning approaches;
- Computational geometry;
- Robot motion simulation;
- Real-time path planning;
- Swarm robotics and distributed optimization
Dr. Enrique Garcia
Guest Editor
Manuscript Submission Information
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Keywords
- optimization
- path planning
- collision avoidance
- computational geometry
- simulation
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